{"id":"W4284882048","doi":"10.1097/cin.0000000000000940","title":"The Psychometric Properties of Version 2 of the Canadian Nurse Informatics Competency Assessment Scale","year":2022,"lang":"en","type":"article","venue":"CIN Computers Informatics Nursing","topic":"Nursing Diagnosis and Documentation","field":"Nursing","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Alberta Hospital Edmonton; University of New Brunswick","funders":"","keywords":"Varimax rotation; Health informatics; Informatics; Scale (ratio); Exploratory factor analysis; Nursing; Reliability (semiconductor); Psychology; Medical education; Medicine; Psychometrics; Cronbach's alpha; Clinical psychology; Public health; Engineering","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0079512,0.0003749123,0.0004841051,0.002217777,0.00203117,0.00152692,0.00100343,0.0003688821,0.00265279],"category_scores_gemma":[0.02970863,0.0002506753,0.0008223116,0.002420914,0.0007356044,0.0005762947,0.001329734,0.0006158239,0.0003764957],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01158074,"about_ca_system_score_gemma":0.0311066,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7400908,"about_ca_topic_score_gemma":0.8528786,"domain_scores_codex":[0.9939483,0.0008407022,0.0004640158,0.0004202928,0.00379122,0.0005353647],"domain_scores_gemma":[0.9831203,0.003230866,0.001062354,0.0005779931,0.01070007,0.001308262],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000168153,0.0002218113,0.8324662,0.0002897152,0.000156103,0.0001054162,0.005067962,0.001089342,0.0008253905,0.001439977,0.00740315,0.1507667],"study_design_scores_gemma":[0.00003172459,0.0001924672,0.9844394,0.0001403329,0.00003820831,0.00008174663,0.002112143,0.001605746,0.0003336891,0.000376268,0.01060679,0.00004142429],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9591334,0.0009076381,0.003658289,0.0008151587,0.0002188725,0.001665977,0.003260817,0.0000924503,0.03024732],"genre_scores_gemma":[0.9772409,0.0007383578,0.01250612,0.0004312594,0.00003598052,0.001642685,0.003297311,0.00003765881,0.00406976],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2599092,"threshold_uncertainty_score":0.5228797,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01204645129229247,"score_gpt":0.2664609175608862,"score_spread":0.2544144662685938,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}